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    Podcast host shares interview on Anthropic’s AI coding practices

    The host says the conversation with Claude Code engineer Thariq Shihipar explores fully autonomous work, maintaining higher volumes of code and efforts to prevent AI-written breakages.

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    TLDR

    A podcast host shared an interview with Thariq Shihipar, an engineer on Anthropic’s Claude Code team, describing it as a look at how the company uses models for engineering. Listed topics include internal best practices, what percentage of work is fully autonomous and what has worked to prevent AI-written breakages. The host also lists chapters on prompting tips, model choice and where the industry is headed, with links to watch, listen or read a transcript.

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    49.7K

    2 Sources, first seen 24d ago

    Combined views

    49.7K

    2 Sources, first seen 24d ago

    418 likes
    24d ago
    first seen 24d ago
    418 likes
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    33 comments
    709 saves
    33 reposts

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    Positive——Negative

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    2 Sources

    @ryanlpetermanThariq Shihipar (@trq212) is an engineer on Anthropic’s Claude Code team I asked him how Anthropic makes the most out of the models for engineering and how the industry will change soon. In this episode: • Internal best practices in leveraging the models • What percent of Anthropic's work is fully autonomous • How Anthropic maintains higher volumes of code • What has worked in preventing AI-written breakages Where to watch: • YouTube - https://youtu.be/2Kch3tWMnw8 • Spotify - https://open.spotify.com/episode/5dT5nBPv2JXPKz14M5zlE1?si=sQsWgOiZS1SzsEjWRJ0ruA • Apple Podcasts - https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript - https://www.developing.dev/p/how-anthropic-builds-and-how-engineering Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Chapters: 00:00 Intro 00:29 Onboarding at Anthropic 02:53 Internal capabilities vs external perception 06:16 Model vs Harness 08:55 What percent of Anthropics changes are fully autonomous 14:51 Computer use 17:42 How to make the most out of your compute 20:45 Loop engineering 22:47 Where the industry will go soon 26:02 Which model do Anthropic engineers use 27:38 Is learning a particular model worth it 30:56 Prompting tips for todays models 35:04 How to get the models to do tasteful work 39:00 How much of writing is done by AI at Anthropic 45:36 Code ownership and maintenance at Anthropic 52:04 How Anthropic prevents breakages 55:24 Visibility and sharing your work 58:42 Luck surface area example 01:00:57 Should people still learn to code 01:07:42 Advice for his younger self 01:09:58 Outro
    @trq212RT @ryanlpeterman: Thariq Shihipar (@trq212) is an engineer on Anthropic’s Claude Code team I asked him how Anthropic makes the most out of…

    2 Sources

    @ryanlpetermanThariq Shihipar (@trq212) is an engineer on Anthropic’s Claude Code team I asked him how Anthropic makes the most out of the models for engineering and how the industry will change soon. In this episode: • Internal best practices in leveraging the models • What percent of Anthropic's work is fully autonomous • How Anthropic maintains higher volumes of code • What has worked in preventing AI-written breakages Where to watch: • YouTube - https://youtu.be/2Kch3tWMnw8 • Spotify - https://open.spotify.com/episode/5dT5nBPv2JXPKz14M5zlE1?si=sQsWgOiZS1SzsEjWRJ0ruA • Apple Podcasts - https://podcasts.apple.com/us/podcast/the-peterman-pod/id1777363835 • Transcript - https://www.developing.dev/p/how-anthropic-builds-and-how-engineering Thank you to the sponsor of this episode for supporting my work: • WorkOS: makes your app Enterprise Ready with easy to use APIs to add SSO, SCIM, RBAC, and more in just a few lines of code, check them out at https://workos.com/ Chapters: 00:00 Intro 00:29 Onboarding at Anthropic 02:53 Internal capabilities vs external perception 06:16 Model vs Harness 08:55 What percent of Anthropics changes are fully autonomous 14:51 Computer use 17:42 How to make the most out of your compute 20:45 Loop engineering 22:47 Where the industry will go soon 26:02 Which model do Anthropic engineers use 27:38 Is learning a particular model worth it 30:56 Prompting tips for todays models 35:04 How to get the models to do tasteful work 39:00 How much of writing is done by AI at Anthropic 45:36 Code ownership and maintenance at Anthropic 52:04 How Anthropic prevents breakages 55:24 Visibility and sharing your work 58:42 Luck surface area example 01:00:57 Should people still learn to code 01:07:42 Advice for his younger self 01:09:58 Outro
    @trq212RT @ryanlpeterman: Thariq Shihipar (@trq212) is an engineer on Anthropic’s Claude Code team I asked him how Anthropic makes the most out of…